Julia Software Developer, Bayesian Inference Researcher at PlantingSpace
Berlin, Germany
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Summary
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Senior
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Théo Galy-fajou is a Julia software developer and Bayesian inference researcher based in Berlin with 11 years of experience bridging physics, machine learning, and scientific software. He holds a Master’s in Physics from EPFL, a minor in Computational Science & Engineering, and is pursuing a PhD in AI at TU Berlin, combining deep theoretical training with hands-on C++ and Julia engineering. His background includes MRI sequence programming at Siemens, particle-physics data analysis, and research roles that emphasize probabilistic modeling and numerical simulation. Comfortable in academic and industry settings, he brings interdisciplinary fluency—coding, experiment-driven problem solving, and even graphic design for technical communication. Having studied and worked across Europe, he leverages international collaboration and teaching experience to translate complex research into robust, production-ready tools.
11 years of coding experience
5 years of employment as a software developer
Elementary Particle Physics, Elementary Particle Physics at The University of Edinburgh
KTH Royal Institute of Technology
Master's degree, Physics, Master's degree, Physics at Ecole polytechnique fédérale de Lausanne
Doctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Technische Universität Berlin
Contributions:81 commits, 65 pushes, 4 branches in 1 year 5 months
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Théo Galy-fajou - Julia Software Developer, Bayesian Inference Researcher at PlantingSpace